hello
hello

📌 Retain class distribution for seed 2:
Class 0: 4500
Class 1: 4500
Class 2: 4500
Class 3: 4500
Class 4: 4500
Class 5: 4500
Class 6: 4500
Class 7: 4500
Class 8: 4500
Class 9: 4500

📌 Forget class distribution for seed 2:
Class 0: 500
Class 1: 500
Class 2: 500
Class 3: 500
Class 4: 500
Class 5: 500
Class 6: 500
Class 7: 500
Class 8: 500
Class 9: 500

📊 Updated class distribution:
Retain set:
  Class 0: 4625
  Class 1: 4625
  Class 2: 4625
  Class 3: 4625
  Class 4: 4625
  Class 5: 4625
  Class 6: 4625
  Class 7: 4625
  Class 8: 4625
  Class 9: 4625
Forget set:
  Class 0: 375
  Class 1: 375
  Class 2: 375
  Class 3: 375
  Class 4: 375
  Class 5: 375
  Class 6: 375
  Class 7: 375
  Class 8: 375
  Class 9: 375
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46250]	Loss: 2.3326	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3470	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3416	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3316	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.2924	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.3245	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.3214	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2756	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.2801	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.2683	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.2357	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.2057	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.1896	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.1497	LR: 0.007182
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Training Epoch: 1 [4352/46250]	Loss: 2.1060	LR: 0.008840
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Training Epoch: 1 [4864/46250]	Loss: 2.0893	LR: 0.009945
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Training Epoch: 1 [5888/46250]	Loss: 2.0136	LR: 0.012155
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Training Epoch: 1 [8448/46250]	Loss: 1.9450	LR: 0.017680
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Training Epoch: 1 [8960/46250]	Loss: 1.8355	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.7927	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.9122	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.8740	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.7681	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.8762	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.8442	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.8211	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.7736	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.8692	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.8350	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.7560	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.8138	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.8334	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.8009	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.7921	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.8035	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.7518	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.7935	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.6599	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.8190	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.7087	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.6905	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.6988	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.6326	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.6146	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.6875	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.7208	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.5576	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.7258	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.5906	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.7421	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.6303	LR: 0.036464
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Training Epoch: 1 [17664/46250]	Loss: 1.6038	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 1.6618	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 1.6412	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 1.6960	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 1.5875	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.6761	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.7887	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.5882	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.6614	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.5423	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.6893	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.6538	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.6038	LR: 0.044199
Training Epoch: 1 [20992/46250]	Loss: 1.5251	LR: 0.044751
Training Epoch: 1 [21248/46250]	Loss: 1.6640	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.5826	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.5251	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.5762	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.5510	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.6469	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.6278	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.5640	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.5482	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.5842	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.6684	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.5787	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.5181	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.6063	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.6023	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.5914	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.4517	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.6212	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.6056	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.6155	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.5620	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.5530	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.5885	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.6195	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.5435	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.5373	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.6343	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.6543	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.6753	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.5907	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.5158	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.5279	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.5967	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.4929	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.4805	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.4867	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.6468	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.4800	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.5115	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.5581	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.6300	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.6838	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.6091	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.4354	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.5826	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.4808	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.4961	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.5504	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.5270	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.4879	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.5247	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.5177	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.4955	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.4634	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.4076	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.3734	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.5040	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.4176	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.3836	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.4194	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.6006	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.3907	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.3746	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.3902	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.3976	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.3963	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.4342	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.4673	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.4043	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.4405	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.3416	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.4749	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.4900	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.5106	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.4093	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.5255	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.5147	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.5171	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.5750	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.4279	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.4762	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.2915	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.5268	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.4345	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.5116	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.3396	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.4525	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.4119	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.4116	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.3498	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.4462	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.3273	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.4913	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.4409	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.4768	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.3460	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.5245	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.4625	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.2179	LR: 0.099448
Epoch 1 - Average Train Loss: 1.6780, Train Accuracy: 0.3792
Epoch 1 training time consumed: 26.77s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0072, Accuracy: 0.4220, Time consumed:1.14s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_37m_59s/AllCNN-Cifar10-seed2-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.4394	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.4253	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.4776	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.5071	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.3909	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.4876	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.5159	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.4484	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.2734	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.3334	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.3364	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.4013	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.3075	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.3728	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.3829	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.3392	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.3492	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.4012	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.3272	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.3695	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.3577	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 1.2568	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 1.3315	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 1.2449	LR: 0.100000
Training Epoch: 2 [6400/46250]	Loss: 1.3134	LR: 0.100000
Training Epoch: 2 [6656/46250]	Loss: 1.3646	LR: 0.100000
Training Epoch: 2 [6912/46250]	Loss: 1.3618	LR: 0.100000
Training Epoch: 2 [7168/46250]	Loss: 1.3511	LR: 0.100000
Training Epoch: 2 [7424/46250]	Loss: 1.2639	LR: 0.100000
Training Epoch: 2 [7680/46250]	Loss: 1.3477	LR: 0.100000
Training Epoch: 2 [7936/46250]	Loss: 1.3663	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 1.2755	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.3122	LR: 0.100000
Training Epoch: 2 [8704/46250]	Loss: 1.2290	LR: 0.100000
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Training Epoch: 2 [9216/46250]	Loss: 1.2048	LR: 0.100000
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Training Epoch: 2 [10240/46250]	Loss: 1.3364	LR: 0.100000
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Training Epoch: 2 [12800/46250]	Loss: 1.3126	LR: 0.100000
Training Epoch: 2 [13056/46250]	Loss: 1.2456	LR: 0.100000
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Training Epoch: 2 [13568/46250]	Loss: 1.4128	LR: 0.100000
Training Epoch: 2 [13824/46250]	Loss: 1.1804	LR: 0.100000
Training Epoch: 2 [14080/46250]	Loss: 1.2068	LR: 0.100000
Training Epoch: 2 [14336/46250]	Loss: 1.3107	LR: 0.100000
Training Epoch: 2 [14592/46250]	Loss: 1.2501	LR: 0.100000
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Training Epoch: 2 [15104/46250]	Loss: 1.1994	LR: 0.100000
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Training Epoch: 2 [16896/46250]	Loss: 1.3441	LR: 0.100000
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Training Epoch: 2 [18176/46250]	Loss: 1.2287	LR: 0.100000
Training Epoch: 2 [18432/46250]	Loss: 1.1721	LR: 0.100000
Training Epoch: 2 [18688/46250]	Loss: 1.0954	LR: 0.100000
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Training Epoch: 2 [19200/46250]	Loss: 1.1575	LR: 0.100000
Training Epoch: 2 [19456/46250]	Loss: 1.2111	LR: 0.100000
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Training Epoch: 2 [22784/46250]	Loss: 1.2111	LR: 0.100000
Training Epoch: 2 [23040/46250]	Loss: 1.1046	LR: 0.100000
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Training Epoch: 2 [23552/46250]	Loss: 1.1099	LR: 0.100000
Training Epoch: 2 [23808/46250]	Loss: 1.1886	LR: 0.100000
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Training Epoch: 2 [46250/46250]	Loss: 1.1447	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2113, Train Accuracy: 0.5599
Epoch 2 training time consumed: 26.01s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0062, Accuracy: 0.5138, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_37m_59s/AllCNN-Cifar10-seed2-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 1.1161	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 0.9533	LR: 0.100000
Epoch 3 - Average Train Loss: 1.0133, Train Accuracy: 0.6372
Epoch 3 training time consumed: 25.96s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0052, Accuracy: 0.5723, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_37m_59s/AllCNN-Cifar10-seed2-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.9893	LR: 0.100000
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Training Epoch: 4 [46250/46250]	Loss: 0.8312	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8827, Train Accuracy: 0.6894
Epoch 4 training time consumed: 25.98s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0039, Accuracy: 0.6725, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_37m_59s/AllCNN-Cifar10-seed2-ret25-4-best.pth
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Training Epoch: 5 [46250/46250]	Loss: 0.9563	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7835, Train Accuracy: 0.7242
Epoch 5 training time consumed: 26.02s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0031, Accuracy: 0.7241, Time consumed:1.00s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_37m_59s/AllCNN-Cifar10-seed2-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.6823	LR: 0.100000
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Training Epoch: 6 [46250/46250]	Loss: 0.6583	LR: 0.100000
Epoch 6 - Average Train Loss: 0.7139, Train Accuracy: 0.7502
Epoch 6 training time consumed: 26.11s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0039, Accuracy: 0.6902, Time consumed:0.94s
Training Epoch: 7 [256/46250]	Loss: 0.6693	LR: 0.100000
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Training Epoch: 7 [17920/46250]	Loss: 0.6093	LR: 0.100000
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Training Epoch: 7 [18432/46250]	Loss: 0.5679	LR: 0.100000
Training Epoch: 7 [18688/46250]	Loss: 0.6554	LR: 0.100000
Training Epoch: 7 [18944/46250]	Loss: 0.6157	LR: 0.100000
Training Epoch: 7 [19200/46250]	Loss: 0.6246	LR: 0.100000
Training Epoch: 7 [19456/46250]	Loss: 0.7241	LR: 0.100000
Training Epoch: 7 [19712/46250]	Loss: 0.6652	LR: 0.100000
Training Epoch: 7 [19968/46250]	Loss: 0.6110	LR: 0.100000
Training Epoch: 7 [20224/46250]	Loss: 0.6314	LR: 0.100000
Training Epoch: 7 [20480/46250]	Loss: 0.5853	LR: 0.100000
Training Epoch: 7 [20736/46250]	Loss: 0.7555	LR: 0.100000
Training Epoch: 7 [20992/46250]	Loss: 0.5780	LR: 0.100000
Training Epoch: 7 [21248/46250]	Loss: 0.6173	LR: 0.100000
Training Epoch: 7 [21504/46250]	Loss: 0.6385	LR: 0.100000
Training Epoch: 7 [21760/46250]	Loss: 0.5998	LR: 0.100000
Training Epoch: 7 [22016/46250]	Loss: 0.6923	LR: 0.100000
Training Epoch: 7 [22272/46250]	Loss: 0.7938	LR: 0.100000
Training Epoch: 7 [22528/46250]	Loss: 0.6047	LR: 0.100000
Training Epoch: 7 [22784/46250]	Loss: 0.7879	LR: 0.100000
Training Epoch: 7 [23040/46250]	Loss: 0.6603	LR: 0.100000
Training Epoch: 7 [23296/46250]	Loss: 0.6180	LR: 0.100000
Training Epoch: 7 [23552/46250]	Loss: 0.6878	LR: 0.100000
Training Epoch: 7 [23808/46250]	Loss: 0.7046	LR: 0.100000
Training Epoch: 7 [24064/46250]	Loss: 0.6628	LR: 0.100000
Training Epoch: 7 [24320/46250]	Loss: 0.6706	LR: 0.100000
Training Epoch: 7 [24576/46250]	Loss: 0.5657	LR: 0.100000
Training Epoch: 7 [24832/46250]	Loss: 0.5971	LR: 0.100000
Training Epoch: 7 [25088/46250]	Loss: 0.6858	LR: 0.100000
Training Epoch: 7 [25344/46250]	Loss: 0.6065	LR: 0.100000
Training Epoch: 7 [25600/46250]	Loss: 0.5851	LR: 0.100000
Training Epoch: 7 [25856/46250]	Loss: 0.7180	LR: 0.100000
Training Epoch: 7 [26112/46250]	Loss: 0.6674	LR: 0.100000
Training Epoch: 7 [26368/46250]	Loss: 0.7004	LR: 0.100000
Training Epoch: 7 [26624/46250]	Loss: 0.6134	LR: 0.100000
Training Epoch: 7 [26880/46250]	Loss: 0.7030	LR: 0.100000
Training Epoch: 7 [27136/46250]	Loss: 0.5801	LR: 0.100000
Training Epoch: 7 [27392/46250]	Loss: 0.7649	LR: 0.100000
Training Epoch: 7 [27648/46250]	Loss: 0.5870	LR: 0.100000
Training Epoch: 7 [27904/46250]	Loss: 0.6554	LR: 0.100000
Training Epoch: 7 [28160/46250]	Loss: 0.6764	LR: 0.100000
Training Epoch: 7 [28416/46250]	Loss: 0.6743	LR: 0.100000
Training Epoch: 7 [28672/46250]	Loss: 0.5949	LR: 0.100000
Training Epoch: 7 [28928/46250]	Loss: 0.6547	LR: 0.100000
Training Epoch: 7 [29184/46250]	Loss: 0.5190	LR: 0.100000
Training Epoch: 7 [29440/46250]	Loss: 0.6788	LR: 0.100000
Training Epoch: 7 [29696/46250]	Loss: 0.7478	LR: 0.100000
Training Epoch: 7 [29952/46250]	Loss: 0.6146	LR: 0.100000
Training Epoch: 7 [30208/46250]	Loss: 0.6819	LR: 0.100000
Training Epoch: 7 [30464/46250]	Loss: 0.8314	LR: 0.100000
Training Epoch: 7 [30720/46250]	Loss: 0.6630	LR: 0.100000
Training Epoch: 7 [30976/46250]	Loss: 0.6158	LR: 0.100000
Training Epoch: 7 [31232/46250]	Loss: 0.6946	LR: 0.100000
Training Epoch: 7 [31488/46250]	Loss: 0.8055	LR: 0.100000
Training Epoch: 7 [31744/46250]	Loss: 0.7322	LR: 0.100000
Training Epoch: 7 [32000/46250]	Loss: 0.6254	LR: 0.100000
Training Epoch: 7 [32256/46250]	Loss: 0.5658	LR: 0.100000
Training Epoch: 7 [32512/46250]	Loss: 0.5459	LR: 0.100000
Training Epoch: 7 [32768/46250]	Loss: 0.5167	LR: 0.100000
Training Epoch: 7 [33024/46250]	Loss: 0.6310	LR: 0.100000
Training Epoch: 7 [33280/46250]	Loss: 0.7138	LR: 0.100000
Training Epoch: 7 [33536/46250]	Loss: 0.6608	LR: 0.100000
Training Epoch: 7 [33792/46250]	Loss: 0.6334	LR: 0.100000
Training Epoch: 7 [34048/46250]	Loss: 0.6305	LR: 0.100000
Training Epoch: 7 [34304/46250]	Loss: 0.7245	LR: 0.100000
Training Epoch: 7 [34560/46250]	Loss: 0.6962	LR: 0.100000
Training Epoch: 7 [34816/46250]	Loss: 0.7066	LR: 0.100000
Training Epoch: 7 [35072/46250]	Loss: 0.7549	LR: 0.100000
Training Epoch: 7 [35328/46250]	Loss: 0.6177	LR: 0.100000
Training Epoch: 7 [35584/46250]	Loss: 0.7106	LR: 0.100000
Training Epoch: 7 [35840/46250]	Loss: 0.5666	LR: 0.100000
Training Epoch: 7 [36096/46250]	Loss: 0.7513	LR: 0.100000
Training Epoch: 7 [36352/46250]	Loss: 0.6888	LR: 0.100000
Training Epoch: 7 [36608/46250]	Loss: 0.5617	LR: 0.100000
Training Epoch: 7 [36864/46250]	Loss: 0.6395	LR: 0.100000
Training Epoch: 7 [37120/46250]	Loss: 0.5534	LR: 0.100000
Training Epoch: 7 [37376/46250]	Loss: 0.6640	LR: 0.100000
Training Epoch: 7 [37632/46250]	Loss: 0.5862	LR: 0.100000
Training Epoch: 7 [37888/46250]	Loss: 0.5942	LR: 0.100000
Training Epoch: 7 [38144/46250]	Loss: 0.5936	LR: 0.100000
Training Epoch: 7 [38400/46250]	Loss: 0.7163	LR: 0.100000
Training Epoch: 7 [38656/46250]	Loss: 0.6510	LR: 0.100000
Training Epoch: 7 [38912/46250]	Loss: 0.6211	LR: 0.100000
Training Epoch: 7 [39168/46250]	Loss: 0.5073	LR: 0.100000
Training Epoch: 7 [39424/46250]	Loss: 0.7705	LR: 0.100000
Training Epoch: 7 [39680/46250]	Loss: 0.5388	LR: 0.100000
Training Epoch: 7 [39936/46250]	Loss: 0.6999	LR: 0.100000
Training Epoch: 7 [40192/46250]	Loss: 0.6006	LR: 0.100000
Training Epoch: 7 [40448/46250]	Loss: 0.6061	LR: 0.100000
Training Epoch: 7 [40704/46250]	Loss: 0.5764	LR: 0.100000
Training Epoch: 7 [40960/46250]	Loss: 0.6456	LR: 0.100000
Training Epoch: 7 [41216/46250]	Loss: 0.5854	LR: 0.100000
Training Epoch: 7 [41472/46250]	Loss: 0.6691	LR: 0.100000
Training Epoch: 7 [41728/46250]	Loss: 0.6294	LR: 0.100000
Training Epoch: 7 [41984/46250]	Loss: 0.7007	LR: 0.100000
Training Epoch: 7 [42240/46250]	Loss: 0.5866	LR: 0.100000
Training Epoch: 7 [42496/46250]	Loss: 0.6421	LR: 0.100000
Training Epoch: 7 [42752/46250]	Loss: 0.7303	LR: 0.100000
Training Epoch: 7 [43008/46250]	Loss: 0.7215	LR: 0.100000
Training Epoch: 7 [43264/46250]	Loss: 0.6688	LR: 0.100000
Training Epoch: 7 [43520/46250]	Loss: 0.5870	LR: 0.100000
Training Epoch: 7 [43776/46250]	Loss: 0.6660	LR: 0.100000
Training Epoch: 7 [44032/46250]	Loss: 0.8140	LR: 0.100000
Training Epoch: 7 [44288/46250]	Loss: 0.7485	LR: 0.100000
Training Epoch: 7 [44544/46250]	Loss: 0.6472	LR: 0.100000
Training Epoch: 7 [44800/46250]	Loss: 0.6339	LR: 0.100000
Training Epoch: 7 [45056/46250]	Loss: 0.6967	LR: 0.100000
Training Epoch: 7 [45312/46250]	Loss: 0.6800	LR: 0.100000
Training Epoch: 7 [45568/46250]	Loss: 0.6828	LR: 0.100000
Training Epoch: 7 [45824/46250]	Loss: 0.6329	LR: 0.100000
Training Epoch: 7 [46080/46250]	Loss: 0.6801	LR: 0.100000
Training Epoch: 7 [46250/46250]	Loss: 0.4416	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6553, Train Accuracy: 0.7731
Epoch 7 training time consumed: 25.93s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0036, Accuracy: 0.7097, Time consumed:0.90s
Training Epoch: 8 [256/46250]	Loss: 0.6054	LR: 0.020000
Training Epoch: 8 [512/46250]	Loss: 0.5457	LR: 0.020000
Training Epoch: 8 [768/46250]	Loss: 0.6616	LR: 0.020000
Training Epoch: 8 [1024/46250]	Loss: 0.6769	LR: 0.020000
Training Epoch: 8 [1280/46250]	Loss: 0.6608	LR: 0.020000
Training Epoch: 8 [1536/46250]	Loss: 0.5986	LR: 0.020000
Training Epoch: 8 [1792/46250]	Loss: 0.5202	LR: 0.020000
Training Epoch: 8 [2048/46250]	Loss: 0.5896	LR: 0.020000
Training Epoch: 8 [2304/46250]	Loss: 0.5834	LR: 0.020000
Training Epoch: 8 [2560/46250]	Loss: 0.6382	LR: 0.020000
Training Epoch: 8 [2816/46250]	Loss: 0.5687	LR: 0.020000
Training Epoch: 8 [3072/46250]	Loss: 0.6166	LR: 0.020000
Training Epoch: 8 [3328/46250]	Loss: 0.5394	LR: 0.020000
Training Epoch: 8 [3584/46250]	Loss: 0.4799	LR: 0.020000
Training Epoch: 8 [3840/46250]	Loss: 0.6292	LR: 0.020000
Training Epoch: 8 [4096/46250]	Loss: 0.4492	LR: 0.020000
Training Epoch: 8 [4352/46250]	Loss: 0.5779	LR: 0.020000
Training Epoch: 8 [4608/46250]	Loss: 0.5592	LR: 0.020000
Training Epoch: 8 [4864/46250]	Loss: 0.5574	LR: 0.020000
Training Epoch: 8 [5120/46250]	Loss: 0.6038	LR: 0.020000
Training Epoch: 8 [5376/46250]	Loss: 0.5582	LR: 0.020000
Training Epoch: 8 [5632/46250]	Loss: 0.4932	LR: 0.020000
Training Epoch: 8 [5888/46250]	Loss: 0.5787	LR: 0.020000
Training Epoch: 8 [6144/46250]	Loss: 0.5950	LR: 0.020000
Training Epoch: 8 [6400/46250]	Loss: 0.4501	LR: 0.020000
Training Epoch: 8 [6656/46250]	Loss: 0.4994	LR: 0.020000
Training Epoch: 8 [6912/46250]	Loss: 0.5453	LR: 0.020000
Training Epoch: 8 [7168/46250]	Loss: 0.5321	LR: 0.020000
Training Epoch: 8 [7424/46250]	Loss: 0.4169	LR: 0.020000
Training Epoch: 8 [7680/46250]	Loss: 0.5744	LR: 0.020000
Training Epoch: 8 [7936/46250]	Loss: 0.5533	LR: 0.020000
Training Epoch: 8 [8192/46250]	Loss: 0.5444	LR: 0.020000
Training Epoch: 8 [8448/46250]	Loss: 0.5612	LR: 0.020000
Training Epoch: 8 [8704/46250]	Loss: 0.4423	LR: 0.020000
Training Epoch: 8 [8960/46250]	Loss: 0.5138	LR: 0.020000
Training Epoch: 8 [9216/46250]	Loss: 0.4328	LR: 0.020000
Training Epoch: 8 [9472/46250]	Loss: 0.6856	LR: 0.020000
Training Epoch: 8 [9728/46250]	Loss: 0.4843	LR: 0.020000
Training Epoch: 8 [9984/46250]	Loss: 0.5747	LR: 0.020000
Training Epoch: 8 [10240/46250]	Loss: 0.5184	LR: 0.020000
Training Epoch: 8 [10496/46250]	Loss: 0.4714	LR: 0.020000
Training Epoch: 8 [10752/46250]	Loss: 0.5407	LR: 0.020000
Training Epoch: 8 [11008/46250]	Loss: 0.5686	LR: 0.020000
Training Epoch: 8 [11264/46250]	Loss: 0.6348	LR: 0.020000
Training Epoch: 8 [11520/46250]	Loss: 0.4774	LR: 0.020000
Training Epoch: 8 [11776/46250]	Loss: 0.5045	LR: 0.020000
Training Epoch: 8 [12032/46250]	Loss: 0.4251	LR: 0.020000
Training Epoch: 8 [12288/46250]	Loss: 0.4795	LR: 0.020000
Training Epoch: 8 [12544/46250]	Loss: 0.4317	LR: 0.020000
Training Epoch: 8 [12800/46250]	Loss: 0.4326	LR: 0.020000
Training Epoch: 8 [13056/46250]	Loss: 0.5426	LR: 0.020000
Training Epoch: 8 [13312/46250]	Loss: 0.4331	LR: 0.020000
Training Epoch: 8 [13568/46250]	Loss: 0.4769	LR: 0.020000
Training Epoch: 8 [13824/46250]	Loss: 0.4945	LR: 0.020000
Training Epoch: 8 [14080/46250]	Loss: 0.5173	LR: 0.020000
Training Epoch: 8 [14336/46250]	Loss: 0.5936	LR: 0.020000
Training Epoch: 8 [14592/46250]	Loss: 0.4964	LR: 0.020000
Training Epoch: 8 [14848/46250]	Loss: 0.4890	LR: 0.020000
Training Epoch: 8 [15104/46250]	Loss: 0.5484	LR: 0.020000
Training Epoch: 8 [15360/46250]	Loss: 0.5778	LR: 0.020000
Training Epoch: 8 [15616/46250]	Loss: 0.4909	LR: 0.020000
Training Epoch: 8 [15872/46250]	Loss: 0.5631	LR: 0.020000
Training Epoch: 8 [16128/46250]	Loss: 0.4876	LR: 0.020000
Training Epoch: 8 [16384/46250]	Loss: 0.5829	LR: 0.020000
Training Epoch: 8 [16640/46250]	Loss: 0.4654	LR: 0.020000
Training Epoch: 8 [16896/46250]	Loss: 0.4470	LR: 0.020000
Training Epoch: 8 [17152/46250]	Loss: 0.5335	LR: 0.020000
Training Epoch: 8 [17408/46250]	Loss: 0.5252	LR: 0.020000
Training Epoch: 8 [17664/46250]	Loss: 0.5024	LR: 0.020000
Training Epoch: 8 [17920/46250]	Loss: 0.5392	LR: 0.020000
Training Epoch: 8 [18176/46250]	Loss: 0.4039	LR: 0.020000
Training Epoch: 8 [18432/46250]	Loss: 0.3984	LR: 0.020000
Training Epoch: 8 [18688/46250]	Loss: 0.5309	LR: 0.020000
Training Epoch: 8 [18944/46250]	Loss: 0.5031	LR: 0.020000
Training Epoch: 8 [19200/46250]	Loss: 0.4987	LR: 0.020000
Training Epoch: 8 [19456/46250]	Loss: 0.4947	LR: 0.020000
Training Epoch: 8 [19712/46250]	Loss: 0.5322	LR: 0.020000
Training Epoch: 8 [19968/46250]	Loss: 0.5094	LR: 0.020000
Training Epoch: 8 [20224/46250]	Loss: 0.4708	LR: 0.020000
Training Epoch: 8 [20480/46250]	Loss: 0.4337	LR: 0.020000
Training Epoch: 8 [20736/46250]	Loss: 0.4552	LR: 0.020000
Training Epoch: 8 [20992/46250]	Loss: 0.5163	LR: 0.020000
Training Epoch: 8 [21248/46250]	Loss: 0.5389	LR: 0.020000
Training Epoch: 8 [21504/46250]	Loss: 0.5640	LR: 0.020000
Training Epoch: 8 [21760/46250]	Loss: 0.4204	LR: 0.020000
Training Epoch: 8 [22016/46250]	Loss: 0.5594	LR: 0.020000
Training Epoch: 8 [22272/46250]	Loss: 0.5785	LR: 0.020000
Training Epoch: 8 [22528/46250]	Loss: 0.4810	LR: 0.020000
Training Epoch: 8 [22784/46250]	Loss: 0.5072	LR: 0.020000
Training Epoch: 8 [23040/46250]	Loss: 0.4363	LR: 0.020000
Training Epoch: 8 [23296/46250]	Loss: 0.4925	LR: 0.020000
Training Epoch: 8 [23552/46250]	Loss: 0.4045	LR: 0.020000
Training Epoch: 8 [23808/46250]	Loss: 0.4486	LR: 0.020000
Training Epoch: 8 [24064/46250]	Loss: 0.5473	LR: 0.020000
Training Epoch: 8 [24320/46250]	Loss: 0.5120	LR: 0.020000
Training Epoch: 8 [24576/46250]	Loss: 0.5143	LR: 0.020000
Training Epoch: 8 [24832/46250]	Loss: 0.4573	LR: 0.020000
Training Epoch: 8 [25088/46250]	Loss: 0.5022	LR: 0.020000
Training Epoch: 8 [25344/46250]	Loss: 0.4643	LR: 0.020000
Training Epoch: 8 [25600/46250]	Loss: 0.6145	LR: 0.020000
Training Epoch: 8 [25856/46250]	Loss: 0.3867	LR: 0.020000
Training Epoch: 8 [26112/46250]	Loss: 0.4506	LR: 0.020000
Training Epoch: 8 [26368/46250]	Loss: 0.5054	LR: 0.020000
Training Epoch: 8 [26624/46250]	Loss: 0.4434	LR: 0.020000
Training Epoch: 8 [26880/46250]	Loss: 0.4851	LR: 0.020000
Training Epoch: 8 [27136/46250]	Loss: 0.5342	LR: 0.020000
Training Epoch: 8 [27392/46250]	Loss: 0.4746	LR: 0.020000
Training Epoch: 8 [27648/46250]	Loss: 0.4746	LR: 0.020000
Training Epoch: 8 [27904/46250]	Loss: 0.5160	LR: 0.020000
Training Epoch: 8 [28160/46250]	Loss: 0.5267	LR: 0.020000
Training Epoch: 8 [28416/46250]	Loss: 0.5091	LR: 0.020000
Training Epoch: 8 [28672/46250]	Loss: 0.5546	LR: 0.020000
Training Epoch: 8 [28928/46250]	Loss: 0.4694	LR: 0.020000
Training Epoch: 8 [29184/46250]	Loss: 0.3906	LR: 0.020000
Training Epoch: 8 [29440/46250]	Loss: 0.5100	LR: 0.020000
Training Epoch: 8 [29696/46250]	Loss: 0.5506	LR: 0.020000
Training Epoch: 8 [29952/46250]	Loss: 0.4135	LR: 0.020000
Training Epoch: 8 [30208/46250]	Loss: 0.4783	LR: 0.020000
Training Epoch: 8 [30464/46250]	Loss: 0.4267	LR: 0.020000
Training Epoch: 8 [30720/46250]	Loss: 0.5926	LR: 0.020000
Training Epoch: 8 [30976/46250]	Loss: 0.4455	LR: 0.020000
Training Epoch: 8 [31232/46250]	Loss: 0.4838	LR: 0.020000
Training Epoch: 8 [31488/46250]	Loss: 0.5550	LR: 0.020000
Training Epoch: 8 [31744/46250]	Loss: 0.5928	LR: 0.020000
Training Epoch: 8 [32000/46250]	Loss: 0.4402	LR: 0.020000
Training Epoch: 8 [32256/46250]	Loss: 0.4914	LR: 0.020000
Training Epoch: 8 [32512/46250]	Loss: 0.4689	LR: 0.020000
Training Epoch: 8 [32768/46250]	Loss: 0.5063	LR: 0.020000
Training Epoch: 8 [33024/46250]	Loss: 0.5028	LR: 0.020000
Training Epoch: 8 [33280/46250]	Loss: 0.5255	LR: 0.020000
Training Epoch: 8 [33536/46250]	Loss: 0.4057	LR: 0.020000
Training Epoch: 8 [33792/46250]	Loss: 0.5162	LR: 0.020000
Training Epoch: 8 [34048/46250]	Loss: 0.5088	LR: 0.020000
Training Epoch: 8 [34304/46250]	Loss: 0.4832	LR: 0.020000
Training Epoch: 8 [34560/46250]	Loss: 0.4813	LR: 0.020000
Training Epoch: 8 [34816/46250]	Loss: 0.5274	LR: 0.020000
Training Epoch: 8 [35072/46250]	Loss: 0.4126	LR: 0.020000
Training Epoch: 8 [35328/46250]	Loss: 0.6014	LR: 0.020000
Training Epoch: 8 [35584/46250]	Loss: 0.4261	LR: 0.020000
Training Epoch: 8 [35840/46250]	Loss: 0.5596	LR: 0.020000
Training Epoch: 8 [36096/46250]	Loss: 0.4566	LR: 0.020000
Training Epoch: 8 [36352/46250]	Loss: 0.5457	LR: 0.020000
Training Epoch: 8 [36608/46250]	Loss: 0.3720	LR: 0.020000
Training Epoch: 8 [36864/46250]	Loss: 0.4620	LR: 0.020000
Training Epoch: 8 [37120/46250]	Loss: 0.4381	LR: 0.020000
Training Epoch: 8 [37376/46250]	Loss: 0.5517	LR: 0.020000
Training Epoch: 8 [37632/46250]	Loss: 0.4345	LR: 0.020000
Training Epoch: 8 [37888/46250]	Loss: 0.4411	LR: 0.020000
Training Epoch: 8 [38144/46250]	Loss: 0.4419	LR: 0.020000
Training Epoch: 8 [38400/46250]	Loss: 0.5393	LR: 0.020000
Training Epoch: 8 [38656/46250]	Loss: 0.4734	LR: 0.020000
Training Epoch: 8 [38912/46250]	Loss: 0.4780	LR: 0.020000
Training Epoch: 8 [39168/46250]	Loss: 0.4256	LR: 0.020000
Training Epoch: 8 [39424/46250]	Loss: 0.4617	LR: 0.020000
Training Epoch: 8 [39680/46250]	Loss: 0.4427	LR: 0.020000
Training Epoch: 8 [39936/46250]	Loss: 0.4707	LR: 0.020000
Training Epoch: 8 [40192/46250]	Loss: 0.4977	LR: 0.020000
Training Epoch: 8 [40448/46250]	Loss: 0.4823	LR: 0.020000
Training Epoch: 8 [40704/46250]	Loss: 0.4496	LR: 0.020000
Training Epoch: 8 [40960/46250]	Loss: 0.4657	LR: 0.020000
Training Epoch: 8 [41216/46250]	Loss: 0.4191	LR: 0.020000
Training Epoch: 8 [41472/46250]	Loss: 0.5214	LR: 0.020000
Training Epoch: 8 [41728/46250]	Loss: 0.5201	LR: 0.020000
Training Epoch: 8 [41984/46250]	Loss: 0.4305	LR: 0.020000
Training Epoch: 8 [42240/46250]	Loss: 0.4160	LR: 0.020000
Training Epoch: 8 [42496/46250]	Loss: 0.4853	LR: 0.020000
Training Epoch: 8 [42752/46250]	Loss: 0.3866	LR: 0.020000
Training Epoch: 8 [43008/46250]	Loss: 0.4762	LR: 0.020000
Training Epoch: 8 [43264/46250]	Loss: 0.4968	LR: 0.020000
Training Epoch: 8 [43520/46250]	Loss: 0.4241	LR: 0.020000
Training Epoch: 8 [43776/46250]	Loss: 0.4984	LR: 0.020000
Training Epoch: 8 [44032/46250]	Loss: 0.4102	LR: 0.020000
Training Epoch: 8 [44288/46250]	Loss: 0.4997	LR: 0.020000
Training Epoch: 8 [44544/46250]	Loss: 0.4272	LR: 0.020000
Training Epoch: 8 [44800/46250]	Loss: 0.4767	LR: 0.020000
Training Epoch: 8 [45056/46250]	Loss: 0.3972	LR: 0.020000
Training Epoch: 8 [45312/46250]	Loss: 0.4634	LR: 0.020000
Training Epoch: 8 [45568/46250]	Loss: 0.4334	LR: 0.020000
Training Epoch: 8 [45824/46250]	Loss: 0.4754	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.4566	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.4910	LR: 0.020000
Epoch 8 - Average Train Loss: 0.5019, Train Accuracy: 0.8283
Epoch 8 training time consumed: 25.98s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0019, Accuracy: 0.8340, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_37m_59s/AllCNN-Cifar10-seed2-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.4687	LR: 0.020000
Training Epoch: 9 [512/46250]	Loss: 0.5205	LR: 0.020000
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Training Epoch: 9 [46250/46250]	Loss: 0.4058	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4579, Train Accuracy: 0.8410
Epoch 9 training time consumed: 25.90s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0019, Accuracy: 0.8414, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_37m_59s/AllCNN-Cifar10-seed2-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.4415	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.3523	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.3386	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.4091	LR: 0.020000
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Training Epoch: 10 [24576/46250]	Loss: 0.4471	LR: 0.020000
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Training Epoch: 10 [25600/46250]	Loss: 0.4709	LR: 0.020000
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Training Epoch: 10 [46080/46250]	Loss: 0.3551	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.4698	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4318, Train Accuracy: 0.8497
Epoch 10 training time consumed: 25.96s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0018, Accuracy: 0.8434, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_37m_59s/AllCNN-Cifar10-seed2-ret25-10-best.pth
Training Epoch: 11 [256/46250]	Loss: 0.2963	LR: 0.020000
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Training Epoch: 11 [46080/46250]	Loss: 0.4246	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.5135	LR: 0.020000
Epoch 11 - Average Train Loss: 0.4141, Train Accuracy: 0.8590
Epoch 11 training time consumed: 25.97s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0020, Accuracy: 0.8316, Time consumed:0.99s
Training Epoch: 12 [256/46250]	Loss: 0.3413	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.4344	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.4136	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.4187	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.4076	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.4808	LR: 0.004000
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Training Epoch: 12 [44032/46250]	Loss: 0.2782	LR: 0.004000
Training Epoch: 12 [44288/46250]	Loss: 0.3681	LR: 0.004000
Training Epoch: 12 [44544/46250]	Loss: 0.3437	LR: 0.004000
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Training Epoch: 12 [45056/46250]	Loss: 0.3157	LR: 0.004000
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Training Epoch: 12 [46080/46250]	Loss: 0.4086	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.3172	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3656, Train Accuracy: 0.8733
Epoch 12 training time consumed: 25.95s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0016, Accuracy: 0.8662, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_37m_59s/AllCNN-Cifar10-seed2-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.3342	LR: 0.004000
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Training Epoch: 13 [32256/46250]	Loss: 0.3114	LR: 0.004000
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Training Epoch: 13 [43008/46250]	Loss: 0.3247	LR: 0.004000
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Training Epoch: 13 [43520/46250]	Loss: 0.3329	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.4088	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.3268	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.4522	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.3110	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.3931	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.3733	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.3601	LR: 0.004000
Training Epoch: 13 [45568/46250]	Loss: 0.3274	LR: 0.004000
Training Epoch: 13 [45824/46250]	Loss: 0.3720	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.3775	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.4182	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3515, Train Accuracy: 0.8807
Epoch 13 training time consumed: 26.05s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0016, Accuracy: 0.8674, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_37m_59s/AllCNN-Cifar10-seed2-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.3483	LR: 0.004000
Training Epoch: 14 [512/46250]	Loss: 0.3797	LR: 0.004000
Training Epoch: 14 [768/46250]	Loss: 0.4143	LR: 0.004000
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Training Epoch: 14 [46250/46250]	Loss: 0.3645	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3459, Train Accuracy: 0.8816
Epoch 14 training time consumed: 25.99s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8714, Time consumed:1.01s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_37m_59s/AllCNN-Cifar10-seed2-ret25-14-best.pth
Training Epoch: 15 [256/46250]	Loss: 0.3257	LR: 0.004000
Training Epoch: 15 [512/46250]	Loss: 0.3004	LR: 0.004000
Training Epoch: 15 [768/46250]	Loss: 0.2942	LR: 0.004000
Training Epoch: 15 [1024/46250]	Loss: 0.3613	LR: 0.004000
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Training Epoch: 15 [11520/46250]	Loss: 0.3673	LR: 0.004000
Training Epoch: 15 [11776/46250]	Loss: 0.3593	LR: 0.004000
Training Epoch: 15 [12032/46250]	Loss: 0.3676	LR: 0.004000
Training Epoch: 15 [12288/46250]	Loss: 0.2907	LR: 0.004000
Training Epoch: 15 [12544/46250]	Loss: 0.3179	LR: 0.004000
Training Epoch: 15 [12800/46250]	Loss: 0.4028	LR: 0.004000
Training Epoch: 15 [13056/46250]	Loss: 0.3543	LR: 0.004000
Training Epoch: 15 [13312/46250]	Loss: 0.3669	LR: 0.004000
Training Epoch: 15 [13568/46250]	Loss: 0.2852	LR: 0.004000
Training Epoch: 15 [13824/46250]	Loss: 0.3362	LR: 0.004000
Training Epoch: 15 [14080/46250]	Loss: 0.3033	LR: 0.004000
Training Epoch: 15 [14336/46250]	Loss: 0.3522	LR: 0.004000
Training Epoch: 15 [14592/46250]	Loss: 0.3191	LR: 0.004000
Training Epoch: 15 [14848/46250]	Loss: 0.2720	LR: 0.004000
Training Epoch: 15 [15104/46250]	Loss: 0.3906	LR: 0.004000
Training Epoch: 15 [15360/46250]	Loss: 0.3372	LR: 0.004000
Training Epoch: 15 [15616/46250]	Loss: 0.3606	LR: 0.004000
Training Epoch: 15 [15872/46250]	Loss: 0.3641	LR: 0.004000
Training Epoch: 15 [16128/46250]	Loss: 0.3206	LR: 0.004000
Training Epoch: 15 [16384/46250]	Loss: 0.3568	LR: 0.004000
Training Epoch: 15 [16640/46250]	Loss: 0.3431	LR: 0.004000
Training Epoch: 15 [16896/46250]	Loss: 0.3020	LR: 0.004000
Training Epoch: 15 [17152/46250]	Loss: 0.2952	LR: 0.004000
Training Epoch: 15 [17408/46250]	Loss: 0.3320	LR: 0.004000
Training Epoch: 15 [17664/46250]	Loss: 0.3667	LR: 0.004000
Training Epoch: 15 [17920/46250]	Loss: 0.3058	LR: 0.004000
Training Epoch: 15 [18176/46250]	Loss: 0.3494	LR: 0.004000
Training Epoch: 15 [18432/46250]	Loss: 0.3689	LR: 0.004000
Training Epoch: 15 [18688/46250]	Loss: 0.2800	LR: 0.004000
Training Epoch: 15 [18944/46250]	Loss: 0.3766	LR: 0.004000
Training Epoch: 15 [19200/46250]	Loss: 0.3475	LR: 0.004000
Training Epoch: 15 [19456/46250]	Loss: 0.3685	LR: 0.004000
Training Epoch: 15 [19712/46250]	Loss: 0.3852	LR: 0.004000
Training Epoch: 15 [19968/46250]	Loss: 0.3169	LR: 0.004000
Training Epoch: 15 [20224/46250]	Loss: 0.3225	LR: 0.004000
Training Epoch: 15 [20480/46250]	Loss: 0.3063	LR: 0.004000
Training Epoch: 15 [20736/46250]	Loss: 0.3607	LR: 0.004000
Training Epoch: 15 [20992/46250]	Loss: 0.3906	LR: 0.004000
Training Epoch: 15 [21248/46250]	Loss: 0.3472	LR: 0.004000
Training Epoch: 15 [21504/46250]	Loss: 0.3243	LR: 0.004000
Training Epoch: 15 [21760/46250]	Loss: 0.3167	LR: 0.004000
Training Epoch: 15 [22016/46250]	Loss: 0.3575	LR: 0.004000
Training Epoch: 15 [22272/46250]	Loss: 0.3484	LR: 0.004000
Training Epoch: 15 [22528/46250]	Loss: 0.3987	LR: 0.004000
Training Epoch: 15 [22784/46250]	Loss: 0.2682	LR: 0.004000
Training Epoch: 15 [23040/46250]	Loss: 0.2790	LR: 0.004000
Training Epoch: 15 [23296/46250]	Loss: 0.3637	LR: 0.004000
Training Epoch: 15 [23552/46250]	Loss: 0.2798	LR: 0.004000
Training Epoch: 15 [23808/46250]	Loss: 0.3294	LR: 0.004000
Training Epoch: 15 [24064/46250]	Loss: 0.3373	LR: 0.004000
Training Epoch: 15 [24320/46250]	Loss: 0.4150	LR: 0.004000
Training Epoch: 15 [24576/46250]	Loss: 0.3644	LR: 0.004000
Training Epoch: 15 [24832/46250]	Loss: 0.3209	LR: 0.004000
Training Epoch: 15 [25088/46250]	Loss: 0.3521	LR: 0.004000
Training Epoch: 15 [25344/46250]	Loss: 0.3565	LR: 0.004000
Training Epoch: 15 [25600/46250]	Loss: 0.2583	LR: 0.004000
Training Epoch: 15 [25856/46250]	Loss: 0.3581	LR: 0.004000
Training Epoch: 15 [26112/46250]	Loss: 0.3446	LR: 0.004000
Training Epoch: 15 [26368/46250]	Loss: 0.2376	LR: 0.004000
Training Epoch: 15 [26624/46250]	Loss: 0.4099	LR: 0.004000
Training Epoch: 15 [26880/46250]	Loss: 0.4132	LR: 0.004000
Training Epoch: 15 [27136/46250]	Loss: 0.3652	LR: 0.004000
Training Epoch: 15 [27392/46250]	Loss: 0.3965	LR: 0.004000
Training Epoch: 15 [27648/46250]	Loss: 0.3214	LR: 0.004000
Training Epoch: 15 [27904/46250]	Loss: 0.2521	LR: 0.004000
Training Epoch: 15 [28160/46250]	Loss: 0.3088	LR: 0.004000
Training Epoch: 15 [28416/46250]	Loss: 0.3583	LR: 0.004000
Training Epoch: 15 [28672/46250]	Loss: 0.3587	LR: 0.004000
Training Epoch: 15 [28928/46250]	Loss: 0.2559	LR: 0.004000
Training Epoch: 15 [29184/46250]	Loss: 0.3412	LR: 0.004000
Training Epoch: 15 [29440/46250]	Loss: 0.3278	LR: 0.004000
Training Epoch: 15 [29696/46250]	Loss: 0.3116	LR: 0.004000
Training Epoch: 15 [29952/46250]	Loss: 0.3640	LR: 0.004000
Training Epoch: 15 [30208/46250]	Loss: 0.3571	LR: 0.004000
Training Epoch: 15 [30464/46250]	Loss: 0.3219	LR: 0.004000
Training Epoch: 15 [30720/46250]	Loss: 0.2782	LR: 0.004000
Training Epoch: 15 [30976/46250]	Loss: 0.3223	LR: 0.004000
Training Epoch: 15 [31232/46250]	Loss: 0.3799	LR: 0.004000
Training Epoch: 15 [31488/46250]	Loss: 0.3808	LR: 0.004000
Training Epoch: 15 [31744/46250]	Loss: 0.3606	LR: 0.004000
Training Epoch: 15 [32000/46250]	Loss: 0.3886	LR: 0.004000
Training Epoch: 15 [32256/46250]	Loss: 0.3607	LR: 0.004000
Training Epoch: 15 [32512/46250]	Loss: 0.4190	LR: 0.004000
Training Epoch: 15 [32768/46250]	Loss: 0.3415	LR: 0.004000
Training Epoch: 15 [33024/46250]	Loss: 0.3013	LR: 0.004000
Training Epoch: 15 [33280/46250]	Loss: 0.3748	LR: 0.004000
Training Epoch: 15 [33536/46250]	Loss: 0.2277	LR: 0.004000
Training Epoch: 15 [33792/46250]	Loss: 0.3535	LR: 0.004000
Training Epoch: 15 [34048/46250]	Loss: 0.3053	LR: 0.004000
Training Epoch: 15 [34304/46250]	Loss: 0.3065	LR: 0.004000
Training Epoch: 15 [34560/46250]	Loss: 0.3416	LR: 0.004000
Training Epoch: 15 [34816/46250]	Loss: 0.3268	LR: 0.004000
Training Epoch: 15 [35072/46250]	Loss: 0.3718	LR: 0.004000
Training Epoch: 15 [35328/46250]	Loss: 0.2895	LR: 0.004000
Training Epoch: 15 [35584/46250]	Loss: 0.3721	LR: 0.004000
Training Epoch: 15 [35840/46250]	Loss: 0.2795	LR: 0.004000
Training Epoch: 15 [36096/46250]	Loss: 0.2927	LR: 0.004000
Training Epoch: 15 [36352/46250]	Loss: 0.3183	LR: 0.004000
Training Epoch: 15 [36608/46250]	Loss: 0.3896	LR: 0.004000
Training Epoch: 15 [36864/46250]	Loss: 0.3237	LR: 0.004000
Training Epoch: 15 [37120/46250]	Loss: 0.3140	LR: 0.004000
Training Epoch: 15 [37376/46250]	Loss: 0.4146	LR: 0.004000
Training Epoch: 15 [37632/46250]	Loss: 0.3122	LR: 0.004000
Training Epoch: 15 [37888/46250]	Loss: 0.3477	LR: 0.004000
Training Epoch: 15 [38144/46250]	Loss: 0.3568	LR: 0.004000
Training Epoch: 15 [38400/46250]	Loss: 0.3483	LR: 0.004000
Training Epoch: 15 [38656/46250]	Loss: 0.3297	LR: 0.004000
Training Epoch: 15 [38912/46250]	Loss: 0.3338	LR: 0.004000
Training Epoch: 15 [39168/46250]	Loss: 0.3137	LR: 0.004000
Training Epoch: 15 [39424/46250]	Loss: 0.3055	LR: 0.004000
Training Epoch: 15 [39680/46250]	Loss: 0.3338	LR: 0.004000
Training Epoch: 15 [39936/46250]	Loss: 0.3479	LR: 0.004000
Training Epoch: 15 [40192/46250]	Loss: 0.2486	LR: 0.004000
Training Epoch: 15 [40448/46250]	Loss: 0.3934	LR: 0.004000
Training Epoch: 15 [40704/46250]	Loss: 0.3027	LR: 0.004000
Training Epoch: 15 [40960/46250]	Loss: 0.2832	LR: 0.004000
Training Epoch: 15 [41216/46250]	Loss: 0.3803	LR: 0.004000
Training Epoch: 15 [41472/46250]	Loss: 0.3631	LR: 0.004000
Training Epoch: 15 [41728/46250]	Loss: 0.3739	LR: 0.004000
Training Epoch: 15 [41984/46250]	Loss: 0.3894	LR: 0.004000
Training Epoch: 15 [42240/46250]	Loss: 0.2965	LR: 0.004000
Training Epoch: 15 [42496/46250]	Loss: 0.4376	LR: 0.004000
Training Epoch: 15 [42752/46250]	Loss: 0.3032	LR: 0.004000
Training Epoch: 15 [43008/46250]	Loss: 0.3992	LR: 0.004000
Training Epoch: 15 [43264/46250]	Loss: 0.3406	LR: 0.004000
Training Epoch: 15 [43520/46250]	Loss: 0.3543	LR: 0.004000
Training Epoch: 15 [43776/46250]	Loss: 0.3779	LR: 0.004000
Training Epoch: 15 [44032/46250]	Loss: 0.2307	LR: 0.004000
Training Epoch: 15 [44288/46250]	Loss: 0.3507	LR: 0.004000
Training Epoch: 15 [44544/46250]	Loss: 0.3560	LR: 0.004000
Training Epoch: 15 [44800/46250]	Loss: 0.3639	LR: 0.004000
Training Epoch: 15 [45056/46250]	Loss: 0.4079	LR: 0.004000
Training Epoch: 15 [45312/46250]	Loss: 0.3529	LR: 0.004000
Training Epoch: 15 [45568/46250]	Loss: 0.2789	LR: 0.004000
Training Epoch: 15 [45824/46250]	Loss: 0.4018	LR: 0.004000
Training Epoch: 15 [46080/46250]	Loss: 0.3761	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.3327	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3404, Train Accuracy: 0.8844
Epoch 15 training time consumed: 26.13s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8668, Time consumed:0.96s
Training Epoch: 16 [256/46250]	Loss: 0.3756	LR: 0.000800
Training Epoch: 16 [512/46250]	Loss: 0.3075	LR: 0.000800
Training Epoch: 16 [768/46250]	Loss: 0.3507	LR: 0.000800
Training Epoch: 16 [1024/46250]	Loss: 0.4106	LR: 0.000800
Training Epoch: 16 [1280/46250]	Loss: 0.3444	LR: 0.000800
Training Epoch: 16 [1536/46250]	Loss: 0.3506	LR: 0.000800
Training Epoch: 16 [1792/46250]	Loss: 0.3229	LR: 0.000800
Training Epoch: 16 [2048/46250]	Loss: 0.3128	LR: 0.000800
Training Epoch: 16 [2304/46250]	Loss: 0.3908	LR: 0.000800
Training Epoch: 16 [2560/46250]	Loss: 0.3569	LR: 0.000800
Training Epoch: 16 [2816/46250]	Loss: 0.3264	LR: 0.000800
Training Epoch: 16 [3072/46250]	Loss: 0.3238	LR: 0.000800
Training Epoch: 16 [3328/46250]	Loss: 0.3604	LR: 0.000800
Training Epoch: 16 [3584/46250]	Loss: 0.3519	LR: 0.000800
Training Epoch: 16 [3840/46250]	Loss: 0.3452	LR: 0.000800
Training Epoch: 16 [4096/46250]	Loss: 0.3252	LR: 0.000800
Training Epoch: 16 [4352/46250]	Loss: 0.3357	LR: 0.000800
Training Epoch: 16 [4608/46250]	Loss: 0.3282	LR: 0.000800
Training Epoch: 16 [4864/46250]	Loss: 0.2800	LR: 0.000800
Training Epoch: 16 [5120/46250]	Loss: 0.3550	LR: 0.000800
Training Epoch: 16 [5376/46250]	Loss: 0.3538	LR: 0.000800
Training Epoch: 16 [5632/46250]	Loss: 0.2784	LR: 0.000800
Training Epoch: 16 [5888/46250]	Loss: 0.3463	LR: 0.000800
Training Epoch: 16 [6144/46250]	Loss: 0.3995	LR: 0.000800
Training Epoch: 16 [6400/46250]	Loss: 0.3455	LR: 0.000800
Training Epoch: 16 [6656/46250]	Loss: 0.3225	LR: 0.000800
Training Epoch: 16 [6912/46250]	Loss: 0.3099	LR: 0.000800
Training Epoch: 16 [7168/46250]	Loss: 0.2782	LR: 0.000800
Training Epoch: 16 [7424/46250]	Loss: 0.3080	LR: 0.000800
Training Epoch: 16 [7680/46250]	Loss: 0.2969	LR: 0.000800
Training Epoch: 16 [7936/46250]	Loss: 0.3117	LR: 0.000800
Training Epoch: 16 [8192/46250]	Loss: 0.3831	LR: 0.000800
Training Epoch: 16 [8448/46250]	Loss: 0.3244	LR: 0.000800
Training Epoch: 16 [8704/46250]	Loss: 0.3284	LR: 0.000800
Training Epoch: 16 [8960/46250]	Loss: 0.3535	LR: 0.000800
Training Epoch: 16 [9216/46250]	Loss: 0.3841	LR: 0.000800
Training Epoch: 16 [9472/46250]	Loss: 0.3075	LR: 0.000800
Training Epoch: 16 [9728/46250]	Loss: 0.3757	LR: 0.000800
Training Epoch: 16 [9984/46250]	Loss: 0.2838	LR: 0.000800
Training Epoch: 16 [10240/46250]	Loss: 0.4145	LR: 0.000800
Training Epoch: 16 [10496/46250]	Loss: 0.3242	LR: 0.000800
Training Epoch: 16 [10752/46250]	Loss: 0.3748	LR: 0.000800
Training Epoch: 16 [11008/46250]	Loss: 0.2930	LR: 0.000800
Training Epoch: 16 [11264/46250]	Loss: 0.3481	LR: 0.000800
Training Epoch: 16 [11520/46250]	Loss: 0.2694	LR: 0.000800
Training Epoch: 16 [11776/46250]	Loss: 0.2527	LR: 0.000800
Training Epoch: 16 [12032/46250]	Loss: 0.3517	LR: 0.000800
Training Epoch: 16 [12288/46250]	Loss: 0.3214	LR: 0.000800
Training Epoch: 16 [12544/46250]	Loss: 0.3536	LR: 0.000800
Training Epoch: 16 [12800/46250]	Loss: 0.3502	LR: 0.000800
Training Epoch: 16 [13056/46250]	Loss: 0.2943	LR: 0.000800
Training Epoch: 16 [13312/46250]	Loss: 0.3547	LR: 0.000800
Training Epoch: 16 [13568/46250]	Loss: 0.3240	LR: 0.000800
Training Epoch: 16 [13824/46250]	Loss: 0.4471	LR: 0.000800
Training Epoch: 16 [14080/46250]	Loss: 0.3315	LR: 0.000800
Training Epoch: 16 [14336/46250]	Loss: 0.3762	LR: 0.000800
Training Epoch: 16 [14592/46250]	Loss: 0.2270	LR: 0.000800
Training Epoch: 16 [14848/46250]	Loss: 0.3873	LR: 0.000800
Training Epoch: 16 [15104/46250]	Loss: 0.4073	LR: 0.000800
Training Epoch: 16 [15360/46250]	Loss: 0.3255	LR: 0.000800
Training Epoch: 16 [15616/46250]	Loss: 0.3091	LR: 0.000800
Training Epoch: 16 [15872/46250]	Loss: 0.3306	LR: 0.000800
Training Epoch: 16 [16128/46250]	Loss: 0.3159	LR: 0.000800
Training Epoch: 16 [16384/46250]	Loss: 0.2840	LR: 0.000800
Training Epoch: 16 [16640/46250]	Loss: 0.3166	LR: 0.000800
Training Epoch: 16 [16896/46250]	Loss: 0.3296	LR: 0.000800
Training Epoch: 16 [17152/46250]	Loss: 0.2689	LR: 0.000800
Training Epoch: 16 [17408/46250]	Loss: 0.3511	LR: 0.000800
Training Epoch: 16 [17664/46250]	Loss: 0.3153	LR: 0.000800
Training Epoch: 16 [17920/46250]	Loss: 0.2780	LR: 0.000800
Training Epoch: 16 [18176/46250]	Loss: 0.3004	LR: 0.000800
Training Epoch: 16 [18432/46250]	Loss: 0.3555	LR: 0.000800
Training Epoch: 16 [18688/46250]	Loss: 0.2705	LR: 0.000800
Training Epoch: 16 [18944/46250]	Loss: 0.3665	LR: 0.000800
Training Epoch: 16 [19200/46250]	Loss: 0.3113	LR: 0.000800
Training Epoch: 16 [19456/46250]	Loss: 0.2955	LR: 0.000800
Training Epoch: 16 [19712/46250]	Loss: 0.4604	LR: 0.000800
Training Epoch: 16 [19968/46250]	Loss: 0.3356	LR: 0.000800
Training Epoch: 16 [20224/46250]	Loss: 0.3854	LR: 0.000800
Training Epoch: 16 [20480/46250]	Loss: 0.2878	LR: 0.000800
Training Epoch: 16 [20736/46250]	Loss: 0.3740	LR: 0.000800
Training Epoch: 16 [20992/46250]	Loss: 0.2587	LR: 0.000800
Training Epoch: 16 [21248/46250]	Loss: 0.3144	LR: 0.000800
Training Epoch: 16 [21504/46250]	Loss: 0.3844	LR: 0.000800
Training Epoch: 16 [21760/46250]	Loss: 0.3120	LR: 0.000800
Training Epoch: 16 [22016/46250]	Loss: 0.2271	LR: 0.000800
Training Epoch: 16 [22272/46250]	Loss: 0.3865	LR: 0.000800
Training Epoch: 16 [22528/46250]	Loss: 0.3201	LR: 0.000800
Training Epoch: 16 [22784/46250]	Loss: 0.2251	LR: 0.000800
Training Epoch: 16 [23040/46250]	Loss: 0.3209	LR: 0.000800
Training Epoch: 16 [23296/46250]	Loss: 0.3678	LR: 0.000800
Training Epoch: 16 [23552/46250]	Loss: 0.3350	LR: 0.000800
Training Epoch: 16 [23808/46250]	Loss: 0.3812	LR: 0.000800
Training Epoch: 16 [24064/46250]	Loss: 0.2944	LR: 0.000800
Training Epoch: 16 [24320/46250]	Loss: 0.2756	LR: 0.000800
Training Epoch: 16 [24576/46250]	Loss: 0.2165	LR: 0.000800
Training Epoch: 16 [24832/46250]	Loss: 0.3855	LR: 0.000800
Training Epoch: 16 [25088/46250]	Loss: 0.3223	LR: 0.000800
Training Epoch: 16 [25344/46250]	Loss: 0.3537	LR: 0.000800
Training Epoch: 16 [25600/46250]	Loss: 0.3312	LR: 0.000800
Training Epoch: 16 [25856/46250]	Loss: 0.2511	LR: 0.000800
Training Epoch: 16 [26112/46250]	Loss: 0.3500	LR: 0.000800
Training Epoch: 16 [26368/46250]	Loss: 0.3521	LR: 0.000800
Training Epoch: 16 [26624/46250]	Loss: 0.3112	LR: 0.000800
Training Epoch: 16 [26880/46250]	Loss: 0.4044	LR: 0.000800
Training Epoch: 16 [27136/46250]	Loss: 0.3124	LR: 0.000800
Training Epoch: 16 [27392/46250]	Loss: 0.3258	LR: 0.000800
Training Epoch: 16 [27648/46250]	Loss: 0.2618	LR: 0.000800
Training Epoch: 16 [27904/46250]	Loss: 0.2510	LR: 0.000800
Training Epoch: 16 [28160/46250]	Loss: 0.3656	LR: 0.000800
Training Epoch: 16 [28416/46250]	Loss: 0.3351	LR: 0.000800
Training Epoch: 16 [28672/46250]	Loss: 0.3566	LR: 0.000800
Training Epoch: 16 [28928/46250]	Loss: 0.3573	LR: 0.000800
Training Epoch: 16 [29184/46250]	Loss: 0.3120	LR: 0.000800
Training Epoch: 16 [29440/46250]	Loss: 0.3550	LR: 0.000800
Training Epoch: 16 [29696/46250]	Loss: 0.3007	LR: 0.000800
Training Epoch: 16 [29952/46250]	Loss: 0.3542	LR: 0.000800
Training Epoch: 16 [30208/46250]	Loss: 0.3060	LR: 0.000800
Training Epoch: 16 [30464/46250]	Loss: 0.3146	LR: 0.000800
Training Epoch: 16 [30720/46250]	Loss: 0.3112	LR: 0.000800
Training Epoch: 16 [30976/46250]	Loss: 0.4094	LR: 0.000800
Training Epoch: 16 [31232/46250]	Loss: 0.3368	LR: 0.000800
Training Epoch: 16 [31488/46250]	Loss: 0.4013	LR: 0.000800
Training Epoch: 16 [31744/46250]	Loss: 0.4050	LR: 0.000800
Training Epoch: 16 [32000/46250]	Loss: 0.3156	LR: 0.000800
Training Epoch: 16 [32256/46250]	Loss: 0.2331	LR: 0.000800
Training Epoch: 16 [32512/46250]	Loss: 0.2345	LR: 0.000800
Training Epoch: 16 [32768/46250]	Loss: 0.3292	LR: 0.000800
Training Epoch: 16 [33024/46250]	Loss: 0.3829	LR: 0.000800
Training Epoch: 16 [33280/46250]	Loss: 0.3454	LR: 0.000800
Training Epoch: 16 [33536/46250]	Loss: 0.2914	LR: 0.000800
Training Epoch: 16 [33792/46250]	Loss: 0.3794	LR: 0.000800
Training Epoch: 16 [34048/46250]	Loss: 0.3070	LR: 0.000800
Training Epoch: 16 [34304/46250]	Loss: 0.3746	LR: 0.000800
Training Epoch: 16 [34560/46250]	Loss: 0.2875	LR: 0.000800
Training Epoch: 16 [34816/46250]	Loss: 0.3033	LR: 0.000800
Training Epoch: 16 [35072/46250]	Loss: 0.3538	LR: 0.000800
Training Epoch: 16 [35328/46250]	Loss: 0.3827	LR: 0.000800
Training Epoch: 16 [35584/46250]	Loss: 0.2779	LR: 0.000800
Training Epoch: 16 [35840/46250]	Loss: 0.3095	LR: 0.000800
Training Epoch: 16 [36096/46250]	Loss: 0.2774	LR: 0.000800
Training Epoch: 16 [36352/46250]	Loss: 0.3261	LR: 0.000800
Training Epoch: 16 [36608/46250]	Loss: 0.2778	LR: 0.000800
Training Epoch: 16 [36864/46250]	Loss: 0.3171	LR: 0.000800
Training Epoch: 16 [37120/46250]	Loss: 0.3550	LR: 0.000800
Training Epoch: 16 [37376/46250]	Loss: 0.3624	LR: 0.000800
Training Epoch: 16 [37632/46250]	Loss: 0.2679	LR: 0.000800
Training Epoch: 16 [37888/46250]	Loss: 0.3046	LR: 0.000800
Training Epoch: 16 [38144/46250]	Loss: 0.2891	LR: 0.000800
Training Epoch: 16 [38400/46250]	Loss: 0.3066	LR: 0.000800
Training Epoch: 16 [38656/46250]	Loss: 0.3335	LR: 0.000800
Training Epoch: 16 [38912/46250]	Loss: 0.2453	LR: 0.000800
Training Epoch: 16 [39168/46250]	Loss: 0.3802	LR: 0.000800
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Training Epoch: 16 [42496/46250]	Loss: 0.2784	LR: 0.000800
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Training Epoch: 16 [43008/46250]	Loss: 0.2828	LR: 0.000800
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Training Epoch: 16 [43520/46250]	Loss: 0.3517	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.3788	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.2904	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.3588	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.3321	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.2953	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.3665	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.3318	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.3732	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.2853	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.4044	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.4164	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3279, Train Accuracy: 0.8889
Epoch 16 training time consumed: 26.01s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0015, Accuracy: 0.8720, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_37m_59s/AllCNN-Cifar10-seed2-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.4101	LR: 0.000800
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Training Epoch: 17 [768/46250]	Loss: 0.2746	LR: 0.000800
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Training Epoch: 17 [1536/46250]	Loss: 0.2853	LR: 0.000800
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Training Epoch: 17 [43264/46250]	Loss: 0.2995	LR: 0.000800
Training Epoch: 17 [43520/46250]	Loss: 0.3293	LR: 0.000800
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Training Epoch: 17 [44288/46250]	Loss: 0.2641	LR: 0.000800
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Training Epoch: 17 [45056/46250]	Loss: 0.3703	LR: 0.000800
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Training Epoch: 17 [46080/46250]	Loss: 0.3723	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.4268	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3256, Train Accuracy: 0.8892
Epoch 17 training time consumed: 25.93s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0015, Accuracy: 0.8721, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_37m_59s/AllCNN-Cifar10-seed2-ret25-17-best.pth
Training Epoch: 18 [256/46250]	Loss: 0.4020	LR: 0.000800
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Training Epoch: 18 [768/46250]	Loss: 0.3064	LR: 0.000800
Training Epoch: 18 [1024/46250]	Loss: 0.3419	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.3029	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.2968	LR: 0.000800
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Training Epoch: 18 [2048/46250]	Loss: 0.2800	LR: 0.000800
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Training Epoch: 18 [40448/46250]	Loss: 0.2937	LR: 0.000800
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Training Epoch: 18 [41216/46250]	Loss: 0.3213	LR: 0.000800
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Training Epoch: 18 [42240/46250]	Loss: 0.3593	LR: 0.000800
Training Epoch: 18 [42496/46250]	Loss: 0.3091	LR: 0.000800
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Training Epoch: 18 [43008/46250]	Loss: 0.3267	LR: 0.000800
Training Epoch: 18 [43264/46250]	Loss: 0.3410	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.2867	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.3296	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.3409	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.2572	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.2646	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.3211	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.3101	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.2197	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.2879	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.3538	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.2673	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.2542	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3220, Train Accuracy: 0.8903
Epoch 18 training time consumed: 25.96s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0015, Accuracy: 0.8727, Time consumed:1.00s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_37m_59s/AllCNN-Cifar10-seed2-ret25-18-best.pth
Training Epoch: 19 [256/46250]	Loss: 0.3046	LR: 0.000800
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Training Epoch: 19 [1536/46250]	Loss: 0.3500	LR: 0.000800
Training Epoch: 19 [1792/46250]	Loss: 0.3836	LR: 0.000800
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Training Epoch: 19 [2816/46250]	Loss: 0.2785	LR: 0.000800
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Training Epoch: 19 [45056/46250]	Loss: 0.2870	LR: 0.000800
Training Epoch: 19 [45312/46250]	Loss: 0.3223	LR: 0.000800
Training Epoch: 19 [45568/46250]	Loss: 0.3204	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.3368	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.3574	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.3072	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3225, Train Accuracy: 0.8903
Epoch 19 training time consumed: 26.41s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0015, Accuracy: 0.8739, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_37m_59s/AllCNN-Cifar10-seed2-ret25-19-best.pth
Training Epoch: 20 [256/46250]	Loss: 0.3720	LR: 0.000800
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Training Epoch: 20 [45824/46250]	Loss: 0.3363	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.2859	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.3831	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3190, Train Accuracy: 0.8906
Epoch 20 training time consumed: 26.05s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0015, Accuracy: 0.8733, Time consumed:0.93s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  46250
Forget Train Dl:  3750
Retain Valid Dl:  46250
Forget Valid Dl:  3750
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 87.333984375
Retain Accuracy: 89.68598175048828
Zero-Retain Forget (ZRF): 0.859659731388092
Membership Inference Attack (MIA): 0.0
Forget vs Retain Membership Inference Attack (MIA): 0.5173333333333333
Forget vs Test Membership Inference Attack (MIA): 0.558
Test vs Retain Membership Inference Attack (MIA): 0.4965
Train vs Test Membership Inference Attack (MIA): 0.51375
Forget Set Accuracy (Df): 85.42514038085938
Method Execution Time: 1040.08 seconds
